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cs.CL2026
Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference
Vasu Shyam, Anna Golubeva, Quentin Anthony
We present tensor and sequence parallelism (TSP), a parallel execution strategy that folds tensor parallelism and sequence parallelism onto a single device axis. In conventional mu…
cs.CL2025
Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design
Quentin Anthony, Yury Tokpanov, Skyler Szot +18
We report on the first large-scale mixture-of-experts (MoE) pretraining study on pure AMD hardware, utilizing both MI300X GPUs and Pollara networking. We distill practical guidance…